@kiwifyx - really like the concept, but think there’s way more work involved than you think; take it from someone who writes software for a living, there’s a huge amount of development involved 
There’s also a flaw with automating the workout scheduling based solely on TR data - you only have a snapshot of data from the last workout, so it has no real idea what your physical state is when you are scheduled to do your next workout.
Maybe TR don’t actually need to re-invent the wheel here. They could instead integrate with an app such as HRV4Training - they’ve already done all the hard work in terms of accurately assessing your recovery state based on HR/HRV and health data.
They also already integrate with Strava/Training Peaks etc., so I’m sure would be open to integration with TR.
Here’s how I see it working:
- Every morning your recovered state (based on the HR/HRV readings and subjective health data) is automatically pushed from HRV4Training to TR.
- When you load your next TR workout it takes a look at the HRV4Training data from that day and if required offers you alternative workouts.
For example, TR sees that your body is poorly recovered, so instead of the VO2Max intervals workout planned, it offers 3 alternative recovery type workouts.
Here’s the bonus - subsequent HRV4Training data will be pushed to TR the following day, so it can actually see how your body has responded to the alternative workout you carried out. Over time TR learns what your body responds to best and offers you better alternative workouts.
Far less development required by TR (they simply need some code for offering alternative workouts based on the data returned from HRV4Training), but could be really effective. TR could even charge for an “advanced” level subscription for this type of functionality. I’d certainly pay a few extra £ a month for this.
If enough people used this it would also build up a really powerful TR dataset (allowing some of the ideas in @themagicspanner’s TrainerRoad’s Big Data thread to be better implemented).